Latest AI and machine learning research in emergency medicine for healthcare professionals.
Introduction: Timely, protocol-adherent clinical decisions are crucial for reducing neonatal mortali...
Current clinical evaluations of large language models (LLMs) rely on datasets which fail to reflect ...
End-to-end text-image machine translation (TIMT), which directly translates textual content in image...
Federated Learning (FL), as a popular distributed learning paradigm, has shown outstanding performan...
Vision Language Models (VLMs) are increasingly used for tasks like medical report generation and vis...
Systems powered by large language models are widely used for health information and advice, yet robu...
Frontier language models are widely used for health-related queries, yet aggregate benchmark scores ...
Background Scalable, non invasive tools are critically needed to improve early lung cancer detection...
The opioid crisis has severely impacted Ohio, with overdose death rates surpassing national averages...
Accurate clinical triage is critical for optimizing decision-making and resource allocation during i...
Background Snakebite envenoming is a significant global health crisis that has been long neglected a...
Background Hemorrhagic transformation (HT) after endovascular thrombectomy (EVT) is a principal dete...
Objective: To evaluate a ranking approach for emergency department (ED) waiting room prioritization ...
Artificial intelligence (AI)-enabled digital interventions, including Generative AI (GenAI) and Huma...
Falls among older adults can result in hip fractures that requires x-ray based assessment at emergen...
Purpose: To evaluate the performance of machine learning models for automated glaucoma detection usi...
Accurate detection and localization of traumatic injuries in abdominal CT scans remains a critical c...
Subtyping of ketoacidosis, a metabolic state characterized by blood acidification due to various cau...
Background: Longitudinal measurement of depression severity in outpatient psychiatric care is limite...
Background: Remote patient monitoring (RPM) generates vast data, yet landmark trials (Tele-HF, BEAT-...
Nasotracheal intubation (NTI) is a vital procedure in emergency airway management, where rapid and a...